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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$8.82
Change-$0.01 (-0.11%)
Volume$13.23K
Net Assets57.64M
Sprott Lithium Miners ETF
Price$5.91
Change-$0.04 (-0.67%)
Volume$1.16K
Net Assets13.35M
BATT vs LITP Comparison Chart
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BATT vs. LITP commentary
May 15, 2025
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BATT is a Buy and LITP is a Buy.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 57.6M vs. LITP (13.3M). BATT has a higher annual dividend yield than LITP: BATT (0.260) vs LITP (-10.928). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (2 years). BATT (0.59) has a lower expense ratio than LITP (0.65). LITP has a higher turnover BATT (42.00) vs BATT (42.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | 0.260 | -10.928 | -2% |
| Net Assets | 57.6M | 13.3M | 433% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 42.00 | 49.00 | 86% |
| Yield | 3.39 | 7.94 | 43% |
| Fund Existence | 7 years | 2 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 84% | 2 days ago 85% |
| Stochastic ODDS (%) | 1 day ago 86% | 2 days ago 90% |
| Momentum ODDS (%) | 1 day ago 85% | 2 days ago 90% |
| MACD ODDS (%) | 1 day ago 84% | 2 days ago 74% |
| TrendWeek ODDS (%) | 1 day ago 88% | 2 days ago 85% |
| TrendMonth ODDS (%) | 1 day ago 85% | 2 days ago 81% |
| Advances ODDS (%) | 2 days ago 88% | 2 days ago 82% |
| Declines ODDS (%) | 29 days ago 89% | 14 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 88% | 2 days ago 90% |
| Aroon ODDS (%) | 1 day ago 86% | 2 days ago 90% |
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Interesting Tickers
BATT and
Correlation & Price change
A.I.dvisor indicates that over the last year, BATT has been closely correlated with FCX. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then FCX could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -0.08% | ||
| FCX - BATT | 75% Closely correlated | -1.04% | ||
| SQM - BATT | 69% Closely correlated | -0.08% | ||
| HBM - BATT | 69% Closely correlated | -1.73% | ||
| SGML - BATT | 67% Closely correlated | -4.99% | ||
| PLL - BATT | 66% Closely correlated | -2.42% | ||
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LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | +0.85% | ||
| SQM - LITP | 77% Closely correlated | -0.42% | ||
| ALB - LITP | 77% Closely correlated | +0.47% | ||
| LAR - LITP | 72% Closely correlated | -0.47% | ||
| PLL - LITP | 71% Closely correlated | -2.09% | ||
| LAC - LITP | 66% Closely correlated | -3.49% | ||
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